Literature DB >> 25450411

Simulating the nasal cycle with computational fluid dynamics.

Ruchin G Patel1, Guilherme J M Garcia2, Dennis O Frank-Ito3, Julia S Kimbell4, John S Rhee5.   

Abstract

OBJECTIVES: (1) To develop a method to account for the confounding effect of the nasal cycle when comparing preoperative and postoperative objective measures of nasal patency. (2) To illustrate this method by reporting objective measures derived from computational fluid dynamics (CFD) models spanning the full range of mucosal engorgement associated with the nasal cycle in 2 subjects. STUDY
DESIGN: Retrospective.
SETTING: Academic tertiary medical center. SUBJECTS AND METHODS: A cohort of 24 patients with nasal airway obstruction was reviewed to select the 2 patients with the greatest reciprocal change in mucosal engorgement between preoperative and postoperative computed tomography (CT) scans. Three-dimensional anatomic models were created based on the preoperative and postoperative CT scans. Nasal cycling models were also created by gradually changing the thickness of the inferior turbinate, middle turbinate, and septal swell body. Moreover, CFD was used to simulate airflow and to calculate nasal resistance and the average heat flux.
RESULTS: Before accounting for the nasal cycle, patient A appeared to have a paradoxical worsening nasal obstruction in the right cavity postoperatively. After accounting for the nasal cycle, patient A had small improvements in objective measures postoperatively. The magnitude of the surgical effect also differed in patient B after accounting for the nasal cycle.
CONCLUSION: By simulating the nasal cycle and comparing models in similar congestive states, surgical changes in nasal patency can be distinguished from physiological changes associated with the nasal cycle. This ability can lead to more precise comparisons of preoperative and postoperative objective measures and potentially more accurate virtual surgery planning. © American Academy of Otolaryngology—Head and Neck Surgery Foundation 2014.

Entities:  

Keywords:  computational fluid dynamics (CFD) simulations; mucosal cooling; nasal airway obstruction; nasal cycle; nasal resistance; nasal surgery; septoplasty

Mesh:

Year:  2014        PMID: 25450411      PMCID: PMC4402730          DOI: 10.1177/0194599814559385

Source DB:  PubMed          Journal:  Otolaryngol Head Neck Surg        ISSN: 0194-5998            Impact factor:   3.497


  24 in total

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  10 in total

1.  Estimates of nasal airflow at the nasal cycle mid-point improve the correlation between objective and subjective measures of nasal patency.

Authors:  Courtney Gaberino; John S Rhee; Guilherme J M Garcia
Journal:  Respir Physiol Neurobiol       Date:  2017-01-09       Impact factor: 1.931

2.  Normative ranges of nasal airflow variables in healthy adults.

Authors:  Azadeh A T Borojeni; Guilherme J M Garcia; Masoud Gh Moghaddam; Dennis O Frank-Ito; Julia S Kimbell; Purushottam W Laud; Lisa J Koenig; John S Rhee
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-07-02       Impact factor: 2.924

3.  Finite Element Model and Validation of Nasal Tip Deformation.

Authors:  Cyrus T Manuel; Rani Harb; Alan Badran; David Ho; Brian J F Wong
Journal:  Ann Biomed Eng       Date:  2016-09-15       Impact factor: 3.934

4.  Impact of Middle versus Inferior Total Turbinectomy on Nasal Aerodynamics.

Authors:  Anupriya Dayal; John S Rhee; Guilherme J M Garcia
Journal:  Otolaryngol Head Neck Surg       Date:  2016-05-10       Impact factor: 3.497

5.  Virtual septoplasty: a method to predict surgical outcomes for patients with nasal airway obstruction.

Authors:  Masoud Gh Moghaddam; Guilherme J M Garcia; Dennis O Frank-Ito; Julia S Kimbell; John S Rhee
Journal:  Int J Comput Assist Radiol Surg       Date:  2020-02-20       Impact factor: 2.924

6.  Correlation between Subjective Nasal Patency and Intranasal Airflow Distribution.

Authors:  Kevin P Casey; Azadeh A T Borojeni; Lisa J Koenig; John S Rhee; Guilherme J M Garcia
Journal:  Otolaryngol Head Neck Surg       Date:  2017-01-31       Impact factor: 3.497

7.  Response to Dr Chung's Question on Simulating the Nasal Cycle with Computational Fluid Dynamics.

Authors:  Guilherme J M Garcia; Ruchin G Patel; Dennis O Frank-Ito; Julia S Kimbell; John S Rhee
Journal:  Otolaryngol Head Neck Surg       Date:  2015-08       Impact factor: 3.497

8.  Estimation of Nasal Tip Support Using Computer-Aided Design and 3-Dimensional Printed Models.

Authors:  Eric Gray; Marlon Maducdoc; Cyrus Manuel; Brian J F Wong
Journal:  JAMA Facial Plast Surg       Date:  2016-07-01       Impact factor: 4.611

9.  Volumetric nasal cavity analysis in children with unilateral and bilateral cleft lip and palate.

Authors:  Zainab Farzal; Jonathan Walsh; Gabriella Lopes de Rezende Barbosa; Carlton J Zdanski; Stephanie D Davis; Richard Superfine; Luiz A Pimenta; Julia S Kimbell; Amelia Fischer Drake
Journal:  Laryngoscope       Date:  2015-08-12       Impact factor: 3.325

10.  Sensitivity of nasal airflow variables computed via computational fluid dynamics to the computed tomography segmentation threshold.

Authors:  Giancarlo B Cherobin; Richard L Voegels; Eloisa M M S Gebrim; Guilherme J M Garcia
Journal:  PLoS One       Date:  2018-11-16       Impact factor: 3.240

  10 in total

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